With the advancement and progress of technology, the traditional robotic products that rely solely on teaching and pre-programmed instructions to automate work are becoming inadequate in terms of flexibility to meet modern production needs. Introducing robotic products with machine vision capabilities has become crucial. With the rapid expansion of the robotics market and the quick maturation of robotics technology, the industrial robotics industry is experiencing unprecedented development opportunities, shifting from human-led production models to robot-led production models.
Under traditional conditions, most robots on the production line perform tasks through teaching replay or pre-programming, where the initial and final positions of objects are strictly defined, with robots only performing point-to-point task actions. However, these robots struggle to handle the transport of objects with varying external parameters. This results in reduced production line flexibility, which doesn't meet the requirements of flexible production systems for material handling and transportation. To ensure robots can complete tasks smoothly and efficiently, and to improve operational efficiency, machine vision technology must be introduced to recognize and locate target objects.
Equipped with machine vision systems, industrial robots have been applied in many fields. In many automated production lines, the final step involves arranging products neatly and then packaging them. However, in many industries, products are bulky and heavy, making manual stacking labor-intensive, inefficient, and risky for workers. Given this, heavy-load robots are the preferred solution to address stacking issues, with machine vision as the robot's "eyes," directly impacting whether the robot can correctly grasp products.
The application of machine vision systems in the field of industrial robotics has greatly improved product quality and speed, ensuring personal safety to the maximum extent, with stable and reliable operation. The combination of machine vision and robotic technology creates a powerful partnership, set to play a significant role in the development of industrial automation and intelligence.
